Scott Lowe

NOVEMBER 30, 2016

All you have to worry about it is the application that runs on the database. This includes MapReduce, Spark, and Presto, and is a managed service that allows customers to pull data from S3, HDFS, or MapR to do analysis without having to worry about the details of managing and optimizing a cluster. Where is FanDuel’s application now?

SOA 60

SOA Applications Load Balancer Architecture 60

Linux Academy

FEBRUARY 26, 2019

Hadoop Quick Start — Hadoop has become a staple technology in the big data industry by enabling the storage and analysis of datasets so big that it would be otherwise impossible with traditional data systems. We discuss architectural requirements and principles of big data infrastructures and the intersection of cloud computing with big data.

Linux 80

Linux Big Data Course Devops 80

Dataconomy

APRIL 28, 2023

Machine learning deployment is a crucial step in bringing the benefits of data science to real-world applications. Understanding machine learning deployment architecture Machine learning model deployment architecture refers to the design pattern or approach used to deploy a machine learning model.

Tools 77

Tools Open Source Architecture Applications 77

TM Forum

JULY 9, 2021

But when it comes to migrating to the cloud, many software vendors and CSPs in the past decade have taken a 'lift-and-shift' approach, which involves taking modular applications and containerizing them in the belief that they are cloud-ready. It is therefore vital to assess application performance before taking the plunge.

Cloud 130

Cloud Applications Load Balancer Construction 130

All Things Distributed

FEBRUARY 18, 2013

Expanding the Cloud - Introducing AWS OpsWorks, a Powerful Application Management Solution. Today Amazon Web Services launched AWS OpsWorks , a flexible application management solution with automation tools that enable you to model and control your applications and their supporting infrastructure. Comments ().

Cloud 157

Cloud Applications Web Services Resources 157

Scott Lowe

NOVEMBER 28, 2016

Even if attendees don’t have the sort of immediate scaling needs that Williams may be describing in this session, he believes that the lessons/fundamentals he discusses are applicable to lots of customers, lots of applications, and lots of use cases. Further, scaling up doesn’t address availability or redundancy.

Load Balancer 60

Load Balancer Applications Architecture SOA 60

All Things Distributed

NOVEMBER 15, 2010

From financial processing and traditional oil & gas exploration HPC applications to integrating complex 3D graphics into online and mobile applications, the applications of GPU processing appear to be limitless. The different stages were then load balanced across the available units. From CPU to GPU.

Architecture 136

Architecture Programming Web Services Applications 136